R news and tutorials contributed by (552) R bloggers

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- Comment of the week
- How data-driven companies use R to compete
- The future of R on the web at #user2014
- Bayesian First Aid: Test of Proportions
- (Py, R, Cmd) Stan 2.3 Released
- Updates to R package raincpc: Global Daily Rainfall for over 35 years
- Review of Applied Predictive Modeling by Kuhn and Johnson
- Maybe I Don’t Really Know R After All
- Jun 26-27, 2014 – Introduction to Data Science with R in NYC
- Tailoring univariate probability distributions
- Be Careful with Using Model Design in R
- A Simple Shiny App for Monitoring Trading Strategies
- Boolean 3 (finally) on CRAN
- What Would Cohen Have Titled “The Earth is Round (p < .05)” in 2014?
- R Scrabble: Part 2

- Prediction model for the FIFA World Cup 2014
- Introducing ggvis
- Using apply, sapply, lapply in R
- Installing R packages
- Basics of Histograms
- Quickly export multiple R objects to an Excel Workbook
- Do you believe in World Cup superstition?
- Box-plot with R – Tutorial
- An infographic comparing R, SAS and SPSS

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## what’s wrong with package comment?!

Xi'an's Og » R, and kindly contributed to R-bloggers)Ispent most of the Sunday afternoon trying to understand why definingdid not have the same effect as writing the line

until I found there is a clash due to the

commentpackage… The assuredly simple codeproduces an error message:

This is quite an inconvenience as I need to compile my solution manual for “” with the even-numbered exercises commented out or not depending on the version… (Leaving this package out and using the comment command within theIntroducing Monte Carlo Methods with Rverbatimpackage does not work either becauseeradoes not seem to be recognised as the end of a commented part…)Filed under: Books, R, Statistics, University life Tagged: comment package, Introducing Monte Carlo Methods with R, LaTeX, R, verbatim

leave a commentfor the author, please follow the link and comment on his blog:Xi'an's Og » R.R-bloggers.com offers

daily e-mail updatesabout R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...subscribe for updatesTags:Books, comment package, Introducing Monte Carlo Methods with R, LaTex, R, statistics, University life, verbatim